Mac Studio
Geekbench AI Score
3712
Single Precision Score
5906
Half Precision Score
4728
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dzappone |
| Upload Date | May 01 2025 04:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
2034
378.3 IPS |
|
|
Image Classification (Q)
|
96% |
1505
281.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2605
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11111
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22407
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17679
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2308
183.7 IPS |
|
|
Object Detection (Q)
|
94% |
1723
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5279
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
3112
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5732
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10402
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7160
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22022
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32529
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26283
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4369
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5983
220.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4113
151.9 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4065
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4781
82.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4777
82.5 IPS |
